Data Science & Analytics
LawnStarter
LawnStarter, a US-based marketplace for outdoor home services, is hiring its first dedicated data governance leader as a fully remote employee based in Latin America. The Workable posting is published for Brazil (including Sao Paulo, Rio de Janeiro and Belo Horizonte), Mexico and Colombia, all flagged remote, and the employer describes the role as fully remote: this work needs deep focus, building monitors and untangling pipelines, and they trust you to manage your environment. You will own data quality, freshness monitoring and lineage tracking across the warehouse and pipeline layer, lead the migration to Lightdash, govern the semantic layer and event tracking standards, get the data ready for AI use cases, and put security and privacy controls in place. The stack is Redshift, dbt, Airflow, Segment and Lightdash, and this is a hands-on management role: you start solo, keep contributing technically, and build the governance systems that scale as the team grows. Compensation is a base salary of USD 75,000 to 120,000 per year with flexible PTO. The posting does not mention visa sponsorship or a timezone requirement; it is a full-time employee role rather than a contractor engagement.
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Own data quality, freshness monitoring and lineage tracking across the warehouse and pipeline layer. Lead the migration of business intelligence to Lightdash and govern the semantic layer. Define and enforce event tracking standards across product and marketing. Prepare data assets for AI and analytics use cases. Implement security and privacy controls on the data platform. Work hands-on across Redshift, dbt, Airflow, Segment and Lightdash while building automation-first quality practices. Manage and grow the governance function over time, starting as an individual contributor with a management mandate.
Governance expertise as a core craft, with depth in the warehouse and pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale. Hands-on management experience combined with continued technical contribution. Daily proficiency with AI tools. Product-minded prioritization, automation-first quality practices and the diplomacy to enforce standards across teams. Located in Brazil, Mexico or Colombia for this fully remote role.
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